Protective effect of paraoxonase 1 gene variant L55M in retinal vein occlusion.

Purpose To determine if the paraoxonase 1 L55M and paraoxonase 1 Q192R gene polymorphisms have an effect on the risk of having a retinal vein occlusion (RVO). Methods This case-control prospective study included 120 patients with RVO and 84 control subjects. All subjects were screened for age, gender, hypertension, diabetes, body mass index, fibrinogen, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, total cholesterol, and very low-density lipoprotein. Subjects were also questioned about their smoking habits. Genomic DNA was extracted from peripheral leukocytes from EDTA anticoagulated blood. Genotyping of the paraoxonase 1 L55M and paraoxonase 1 Q192R polymorphisms was performed using real-time PCR. Results The frequency of the paraoxonase 1 (PON1) 55 LL genotype was significantly lower in patients with RVO than in the control subjects (28% versus 55%; p=0.005). Logistic regression analyses were also conducted. After adjusting for gender, diabetes, hypertension, plasma fibrinogen levels, and high-density lipoprotein cholesterol, the lower LL genotype was found to be an independent predictor of RVO (β=1.755; odds ratio=5.783; p<0.001; 95% confidence interval=2.579–12.967). Conclusions Subjects with a lower frequency PON1 55 LL genotype had a higher risk of RVO. These results indicate that paraoxonase gene polymorphisms may be a possible risk factor for RVO. We suggest that the LL genotype may have a protective role in the pathogenesis of RVO in the Turkish population.

examinations and 84 age-matched controls without RVO. Subjects with trauma, cancer, anticoagulation therapy, or abnormal liver or renal functional tests were excluded from this study. A full ophthalmological evaluation was performed on each subject. All subjects were screened for age, gender, hypertension (HT), diabetes (DM), and body mass index (BMI). Serum levels of fibrinogen, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), total cholesterol (TC), and very low-density lipoprotein cholesterol (VLDL-C) were also determined. All subjects were also questioned about their smoking habits. The hospital ethics committee approved the study, and written informed consent was obtained from each patient after the nature and purpose of the study were fully explained. All experiments were performed in accordance with the Declaration of Helsinki.
Determination of clinical characteristics: Hypertension was defined as systolic blood pressure ≥140 mmHg and diastolic blood pressure ≥90 mmHg. Diabetes mellitus was defined according to the American Diabetes Association (ADA) diagnostic criteria [11]. BMI was calculated as weight (kg) divided by height squared (m 2 ).
Biochemical analysis: Fasting blood samples were obtained via peripheral venous puncture from all subjects. Citrated plasma and serum samples were separated by centrifugation (1500 × g for 10 min at 4 °C). The plasma and serum samples were separated and transferred to clean test tubes and stored at −70 °C until further analysis. Plasma fibrinogen levels were determined using the Clauss method [12] and clotting reagents from Diagnostica Stago (Asnieres, France). Serum total HDL-C, VLDL-C, TG, and LDL-C levels were analyzed with a Cobas C 6000 auto analyzer (Roche Molecular Biochemicals, Mannheim, Germany).
Genotyping: The procedure for genotyping the polymorphisms was used as previously described [13]. PON1 Q192R and PON1 L55M polymorphisms were determined using real-time PCR to analyze patient and control DNA. Genomic DNA was isolated from peripheral leukocytes from EDTA anticoagulated blood using the High Pure PCR Template Preparation Kit (Roche Molecular Biochemicals). Briefly, the following previously reported [13] primers were used: 5′-TAT TGT TGC TGT GGG ACC TGA G-3′ and 5′-CCT TCT GCC ACC ACT CGA AC-3′ for the PON1 Q192R polymorphism and 5′-CCT GCA ATA ATA TGA AAC AAC CTG-3′ and 5′-CTA GAA CAC ACA GAA AAG TGA AAG AAA AC-3′ for the PON1 L55M polymorphism. The detection of oligonucleotide sets during PON1 Q192R and PON1 L55M genotyping was achieved using a 3′-fluorescein-labeled anchor and either a 5′-LC Red 705-labeled (PON1 Q192R) sensor probe or a 5′-LC Red 640-labeled (PON1 L55M) sensor probe. The probes for PON1 Q192R were sensor 5′-CCC CTA CTT ACA ATC CTG GGA GAT-3′ and anchor 5′-ATT TGG GTT TAG CGT GGT CGT ATG TTG-3′ and for PON1 L55M were sensor 5′-CTC TGA AGA CAT GGA GAT ACT GCC-3′ and anchor 5′-ATG GAC TGG CTT TCA TTA GCT CTG TGA GT-3′. The primers and the fluorescent-labeled probes were synthesized by TIB MolBiol (Berlin, Germany). PCR and melting curve analyses were performed in 20-μl glass capillaries (Hoffmann-La Roche, Mannheim, Germany) [14]. During PCR, the Roche LightCycler 1.5 real-time PCR instrument (Roche Instrument Center AG, Rotkreuz, Switzerland) and Light Cycler Software 4.05 (Roche Diagnostics GmbH, Mannheim, Germany) was used to continuously monitor the current fluorescence and fluorescence history of each capillary. Analysis of the PCR products on agarose gels and sequencing confirmed the presence of the specific PCR products. Statistical analysis: Either the χ 2 test or Fischer's exact test was used to compare the distribution of the PON1 polymorphisms of patients with RVO with those of the healthy controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated whenever the chi-square or Fischer's exact test was significant. Significant probability values were also corrected for multiple testing (Bonferroni correction; Pc). The χ 2 test was used to evaluate Hardy-Weinberg equilibrium for the distribution of the genotypes of the patients and the controls. Categorical data were expressed as counts and percentages. According to the Kolmogorov-Smirnov normality test, the two independent sample Student t test was used to compare continuous data between two groups. Continuous data are expressed as mean±standard deviation (SD). A multivariate logistic regression model was implemented to determine LL genotype, gender, HT, DM, HDL-C, and fibrinogen level associated with vein occlusion. P values below 0.05 were considered statistically significant. Statistical analysis was performed using commercial software (PEPI 3.0; IBM SPSS Statistics 19, SPSS Inc., Somers, NY).

RESULTS
The study population consisted of 120 patients with RVO who presented to the ophthalmology clinic at Gaziosmanpasa University Hospital and 84 age-matched controls. The mean age was 64.63±7.69 (age range; 50-88) years for the control group and 63.56±8.20 (age range: 32-82) years for the patient group (p=0.347). The frequency of hypertension was higher in the RVO group than in the control group (76.7% versus 39.3%, p=0.001). The baseline characteristics of the patients and controls are shown in Table 1. There was no significant difference between the patients with RVO and the control group regarding serum total cholesterol, triglycerides, VLDL-C, LDL-C, DM, BMI, or smoking status. The distribution of the genotype and allele frequencies of PON1 L55M and PON1 Q192R in patients with RVO and the controls is shown in Table 2. The frequency of the PON1 55 LL genotype was significantly lower in patients with RVO than in the control subjects (28% versus 55%; p=0.005). Among the patients with RVO, 16 patients had CRVO, and 104 patients had BRVO. The two RVO groups had significantly different genotype distributions. The RR genotype occurred more frequently in patients with CRVO than in patients with BRVO (38% and 6%, respectively; p=0.0016; Table 3). PON1 genotype distribution was in agreement with the Hardy-Weinberg expectations in the control group but not in the RVO group (p<0.05). A multivariate logistic regression analysis was also conducted using RVO as the dependent variable and hypertension, gender, diabetes, HDL-C, and fibrinogen. We found that the frequency of the PON1 55 LL genotype was an independent predictor of RVO. After adjusting for gender, hypertension, fibrinogen, and frequency of diabetes, the PON1 55 LL genotype was found to be associated with an increased risk of RVO (β=1.755; OR=5.783; p<0.001; 95% CI=2.579-12.967). The results of the multivariate logistic regression analysis are presented in Table 4.

DISCUSSION
RVO has been associated with various systemic vascular disorders, such as arteriosclerosis, diabetes mellitus, and dyslipidemia [15]. The mechanical compression of the veins at the arteriovenous crossings predisposes retinal veins to thrombus formation due to sclerotic changes in the retinal arteries. The increased rigidity of the arterial wall associated with these diseases may result in compression of retinal veins [16]. In addition, a case-control study reported decreased serum levels of paraoxonase-1 arylesterase activity, increased hyperhomocysteinemia, and increased oxidative stress in young adult patients with CRVO [4]. Many studies have also shown that RVO is a multifactorial disease and that genetic and environmental factors may contribute to its pathogenesis [17,18]. The present study evaluated the association between PON1 L55M and Q192R polymorphisms and risk of RVO. While we found an association between the PON1 L55M polymorphism and RVO, no association was identified between PON1 Q192R and RVO. The frequency of the PON1 55 LL genotype was significantly lower in patients with RVO than in the control subjects (28% versus 55%; p=0.005).
Many studies have found associations between PON1 polymorphisms and diabetic retinopathy. In a previous study, the allele frequency of leucine 54(L) was significantly higher in retinopathy patients than in those without retinopathy. However, PON1 Gln192Arg frequency was not associated with diabetic retinopathy in insulin-dependent diabetes mellitus [9]. In addition, another study found that the LL genotype was closely associated with the presence of retinopathy. These data show that young people with type 1 diabetes and the LL polymorphism at position 54 of the Data were shown as n (%) and mean ±standard deviation.
PON1 gene are more susceptible to retinal complications [19]. In contrast, no association between complications and PON1 polymorphisms was found among Japanese patients with type 2 diabetes, but the results showed that PON1 activity was higher for the RR and LL genotypes than for the other genotypes of each polymorphism [20]. Additionally, no association between PON1 or PON2 polymorphisms and retinopathy was found in a group from Manchester, England [21]. The variants of PON1 have been studied in age-related macular degeneration (AMD) with controversial results. In  a previous study, a positive association between the paraoxonase 192 RR and the paraoxonase 54 LL genotypes and wet AMD was demonstrated in Japanese patients [22]. In additional studies, the L55M and Q192R single nucleotide polymorphisms of the PON1 gene were not associated with end stage AMD in Caucasian patients from Northern Ireland and Melbourne, Australia, with UK ancestry [23]. These data suggest that PON1 genotypes vary among different ethnic groups and diseases. In another study, a weak association between PON1 L55M and increased risk of wet AMD was reported [24]. Furthermore, Esfandiary et al. reported that PON1 genotype frequencies were not significantly different among patients with AMD and controls [25]. In the present study, we showed that the PON1 L55M polymorphism is significantly associated with RVO, while the PON1 Q192R polymorphism is not. Previous studies [26][27][28]suggest an association between the PON1 polymorphisms and coronary heart disease (CHD). The PON1 192 QQ-HDL polymorphism was most efficient at protecting LDL against oxidative modification, and the PON1 RR-HDL polymorphism was least efficient. Individuals homozygous for the Q and M polymorphisms may be least susceptible to CHD, as these polymorphisms are most efficient at protecting LDL, and individuals homozygous for the R and L polymorphisms may be more susceptible and have the least protection [29]. PON1 Q and PON1 R may exhibit different affinities for lipid peroxides. A study has demonstrated that PON1 Q has a greater capacity to protect against copper-ion induced LDL oxidation than PON1 R 192 [30].
To the best of our knowledge, this is the first report on the association between PON1 polymorphisms and RVO. Using a regression model, we determined that hypertension, male gender, higher plasma fibrinogen levels, and the lower frequency PON1 55 LL genotypes were positive risk factors for RVO. Most studies described a positive association between these factors and RVO. In a meta-analysis of 21 studies, O'Mahoney et al. reported that prevalence of systemic hypertension was 63.6% in patients with RVO compared with 32.6% in controls [31]. Diabetes mellitus was slightly more prevalent among cases with RVO (14.6%) than controls (11.1%). Fibrinogen levels were significantly higher in patients with RVO compared with the controls [32][33][34]. However, Gumus et al. reported that there was no statistically significant difference regarding fibrinogen in RVO [35].
Environment factors, such as smoking [36], a high-fat diet [37], and genetic polymorphisms, may affect PON1 expression and activity. However, PON1 genetic polymorphisms can be affected by environmental factors and ethnic variabilities. In addition, subjects with the LL genotype may have had higher PON1 activity in our study groups, and thus, patients with RVO, who had a lower frequency of the LL genotype, may be more susceptible to LDL oxidation and atherosclerosis in the retinal arteries. Therefore, increased rigidity of the artery walls at the arteriovenous crossings may predispose retinal veins to thrombus formation and, thus, to RVO.
In our study, we were limited by an inability to measure paraoxonase concentrations and enzyme activity to test the effects of different genotypes in patients. Further studies of PON1 activity associated with PON1 polymorphisms are needed.
In summary, our data support that the PON1 L55M gene polymorphism, but not the PON1 Q192R polymorphism, is associated with RVO in a Turkish population. Given the complex nature of genetic susceptibility to retinal vascular occlusive diseases, further studies should be conducted on individual ethnic groups to verify the relationship between the 55L variant and disease.